Perks of Being a Wallflower

Summary

Charlie is a freshman.

And while he’s not the biggest geek in the school, he is by no means popular. Shy, introspective, intelligent beyond his years yet socially awkward, he is a wallflower, caught between trying to live his life and trying to run from it.

Charlie is attempting to navigate his way through uncharted territory: the world of first dates and mix tapes, family dramas and new friends; the world of sex, drugs, and The Rocky Horror Picture Show, when all one requires is that perfect song on that perfect drive to feel infinite. But he can’t stay on the sideline forever. Standing on the fringes of life offers a unique perspective. But there comes a time to see what it looks like from the dance floor.

The Perks of Being a Wallflower is a deeply affecting coming-of-age story that will spirit you back to those wild and poignant roller-coaster days known as growing up.

Recent Tweets

## [1] "notmireya: RT @steffanargus: why do i simultaneously feel like every character in perks of being a wallflower."
## [1] "iamALGEN: Promised myself that I would only read \"The Perks of Being a Wallflower\" if I could find a copy of that book..."
## [1] "heartoutyIer: RT @steffanargus: why do i simultaneously feel like every character in perks of being a wallflower."
## [1] "kbendher57: RT @FILMGRAPHY: Logan Lerman in The Perks of Being a Wallflower (2012) https://t.co/R2JpiYtSmV"
## [1] "kissesfromamy: RT @steffanargus: why do i simultaneously feel like every character in perks of being a wallflower."
## [1] "pswizzley: RT @steffanargus: why do i simultaneously feel like every character in perks of being a wallflower."
## [1] "Avery_M_Eddy: RT @steffanargus: why do i simultaneously feel like every character in perks of being a wallflower."
## [1] "nicolefaithr: RT @steffanargus: why do i simultaneously feel like every character in perks of being a wallflower."
## [1] "Autty_Jewel: RT @KirstenWilley1: No one understands how important The Perks of Being a Wallflower is to me"
## [1] "CelestialCarra: RT @steffanargus: why do i simultaneously feel like every character in perks of being a wallflower."
## [1] "trashactually: RT @steffanargus: why do i simultaneously feel like every character in perks of being a wallflower."
## [1] "Im_sarahbeth: RT @steffanargus: why do i simultaneously feel like every character in perks of being a wallflower."
## [1] "anna_grace25: RT @moviepoets: The Perks of Being A Wallflower (2012) https://t.co/xPW37O1oz7"
## [1] "zayanosis: RT @steffanargus: why do i simultaneously feel like every character in perks of being a wallflower."
## [1] "LZinselmeier: RT @moviepoets: The Perks of Being A Wallflower (2012) https://t.co/xPW37O1oz7"
## [1] "blankpepper: RT @beaufilms: The Perks of Being A Wallflower (2012) https://t.co/hlZ1eRIQwV"
## [1] "blankpepper: RT @beaufilms: The Perks of Being a Wallflower (2012) https://t.co/tGi24YroiH"
## [1] "alexrxe: RT @steffanargus: why do i simultaneously feel like every character in perks of being a wallflower."
## [1] "naddykalen: RT @moviepoets: The Perks of Being A Wallflower (2012) https://t.co/xPW37O1oz7"
## [1] "sonicyouth___: RT @steffanargus: why do i simultaneously feel like every character in perks of being a wallflower."

## 
## The downloaded binary packages are in
##  /var/folders/ny/hkylpsnn3qs2pg8wdvtfwx_m0000gn/T//Rtmpimyh7o/downloaded_packages

library(plotly)

## Loading required package: ggplot2

## 
## Attaching package: 'ggplot2'

## The following object is masked from 'package:NLP':
## 
##     annotate

## 
## Attaching package: 'plotly'

## The following object is masked from 'package:ggplot2':
## 
##     last_plot

## The following object is masked from 'package:httr':
## 
##     config

## The following object is masked from 'package:stats':
## 
##     filter

## The following object is masked from 'package:graphics':
## 
##     layout

library(lubridate)

## 
## Attaching package: 'lubridate'

## The following object is masked from 'package:base':
## 
##     date

####### EDIT THE NEXT LINE TO SPECIFY SEARCH
tweets_raw = searchTwitter(search_term, n=sample_size, lang=language)
####### EDIT THE PREVIOUS LINE TO SPECIFY SEARCH

############  CREATE DATA FRAME ##########################
DF = twListToDF(tweets_raw) 

# TO SAVE:
write.csv(DF,file='wallflower_tweets.csv')

DF <- read.csv(file='wallflower_tweets.csv', sep=',', header=TRUE)
dtime <- rep(NA,nrow(DF))
for (i in 1:nrow(DF)) {
  dtime[i] = difftime(ymd_hms(DF$created[1]), ymd_hms(DF$created[i]), unit='days')
}

r <- dtime
theta <- r%%1*360
tweettimes = data.frame(r=r,t=theta)
p <- plot_ly(
  #plotly::hobbs, r = ~r, t = ~t, color = ~nms, alpha = 0.5, type = "scatter"
  tweettimes, r=~r, t=~t, alpha=0.5, type="scatter" 
)

layout(p, title = "Hobbs-Pearson Trials", plot_bgcolor = toRGB("grey90"))

## No scatter mode specifed:
##   Setting the mode to markers
##   Read more about this attribute -> https://plot.ly/r/reference/#scatter-mode

Key Themes

bookstomovies
triggerwarning
firstlove
comingofage

Extras

Also a major motion picture starring Logan Lerman and Emma Watson
A #1 New York Times best seller for more than a year
An American Library Association Best Book for Young Adults (2000)
Best Book for Reluctant Readers (2000)

summary from Goodreads
extras from Barnes & Noble